Why AI Lip Sync Results Look Fake and How Input Fixes Help

AI lip sync turns a single still image and an audio track into a talking video, but the article argues that the inputs, not the model, usually cause unnatural results. Poor framing, such as a face that is too small in a wide shot, and low-resolution photos leave the model with too little detail to work from. Side profiles, shadowed faces, or objects covering the mouth also cause problems, while illustrations and pets can work if the mouth is clearly visible. Audio issues, including flat delivery, mispronounced numbers or acronyms, and background noise or music, make lip movements look off, so the piece recommends clean, single-speaker, naturally phrased recordings. The guide also suggests checking the start and end of clips, testing with short lines before committing to longer scripts, and only animating photos the creator has rights to.